Wojciech Makalowski

Prof. Dr. Wojciech Makalowski

Institute of Bioinformatics, University Münster, 48149 Munster, Germany
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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 August 2023 in Nature
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ARArang Rhie
Arang Rhie
SNSergey Nurk
Sergey Nurk
MCMonika Cechova
Monika Cechova
SHSavannah J. Hoyt
Savannah J. Hoyt
DTDylan J. Taylor
Dylan J. Taylor
APAdam M. Phillippy
Adam M. Phillippy

1 April 2022 in Science
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Journal Article
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SHSavannah J. Hoyt
Savannah J. Hoyt
JSJessica Storer
Jessica Storer
GHGabrielle A. Hartley
Gabrielle A. Hartley
PGPatrick G. S. Grady
Patrick G. S. Grady
AGAriel Gershman
Ariel Gershman
RORachel O'Neill
Rachel O'Neill
Mobile elements and repetitive genomic regions are sources of lineage-specific genomic innovation and uniquely fingerprint individual genomes. Comprehensive analyses of such repeat elements, including those found in more complex regions of the genome, require a complete, linear genome assembly. We present a de novo repeat discovery and annotation of the T2T-CHM13 human reference genome. We identified previously unknown satellite arrays, expanded the catalog of variants and families for repeats and mobile elements, characterized classes of complex composite repeats, and located retroelement transduction events. We detected nascent transcription and delineated CpG methylation profiles to define the structure of transcriptionally active retroelements in humans, including those in centromeres. These data expand our insight into the diversity, distribution, and evolution of repetitive regions that have shaped the human genome.

5 April 2009 in Bioinformatics
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GAGyörgy Abrusán
György Abrusán
NGNorbert Grundmann
Norbert Grundmann
LDLuc DeMester
Luc DeMester
Wojciech MakalowskiWojciech Makalowski
Wojciech Makalowski
Motivation: The large number of sequenced genomes required the development of software that reconstructs the consensus sequences of transposons and other repetitive elements. However, the available tools usually focus on the accurate identification of raw repeats and provide no information about the taxonomic position of the reconstructed consensi. TEclass is a tool to classify unknown transposable elements into their four main functional categories, which reflect their mode of transposition: DNA transposons, long terminal repeats (LTRs), long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs). TEclass uses machine learning support vector machine (SVM) for classification based on oligomer frequencies. It achieves 90–97% accuracy in the classification of novel DNA and LTR repeats, and 75% for LINEs and SINEs. Availability:http://www.compgen.uni-muenster.de/teclass, stand alone program upon request. Contact:abrusan@uni-muenster.de

4 August 1998 in Proceedings of the National Academy of Sciences
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Wojciech MakalowskiWojciech Makalowski
Wojciech Makalowski
MBMark S. Boguski
Mark S. Boguski
We have rigorously defined 2,820 orthologous mRNA and protein sequence pairs from rats, mice, and humans. Evolutionary rate analyses indicate that mammalian genes are evolving 17–30% more slowly than previous textbook values. Data are presented on the average properties of mRNA and protein sequences, on variations in sequence conservation in coding and noncoding regions, and on the absolute and relative frequencies of repetitive elements and splice sites in untranslated regions of mRNAs. Our data set contains 1,880 unique human/rodent sequence pairs that represent about 2–4% of all mammalian genes. Of the 1,880 human orthologs, 70% are present on a new gene map of the human genome, thus providing a valuable resource for cross-referencing human and rodent genomes. In addition to comparative mapping, these results have practical applications in the interpretation of noncoding sequence conservation between syntenic regions of human and mouse genomic sequence, and in the design and calibration of gene expression arrays.

20 April 2004 in PLOS Biology
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TITadashi Imanishi
Tadashi Imanishi
TITakeshi Itoh
Takeshi Itoh
YSYutaka Suzuki
Yutaka Suzuki
COClaire O'Donovan
Claire O'Donovan
SFSatoshi Fukuchi
Satoshi Fukuchi
SSSumio Sugano
Sumio Sugano
The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.

1 April 2000 in Genome Research
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OPOxana K. Pickeral
Oxana K. Pickeral
Wojciech MakalowskiWojciech Makalowski
Wojciech Makalowski
MBMark S. Boguski
Mark S. Boguski
JBJef D. Boeke
Jef D. Boeke
Human L1 retrotransposons can produce DNA transduction events in which unique DNA segments downstream of L1 elements are mobilized as part of aberrant retrotransposition events. That L1s are capable of carrying out such a reaction in tissue culture cells was elegantly demonstrated. Using bioinformatic approaches to analyze the structures of L1 element target site duplications and flanking sequence features, we provide evidence suggesting that ∼15% of full-length L1 elements bear evidence of flanking DNA segment transduction. Extrapolating these findings to the 600,000 copies of L1 in the genome, we predict that the amount of DNA transduced by L1 represents ∼1% of the genome, a fraction comparable with that occupied by exons.